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An approach to a feature-based comparison of solid models of machined parts

VINCENT A. CICIRELLO, WILLIAM C. REGLI
2002 Artificial intelligence for engineering design, analysis and manufacturing  
This paper presents our approach to manufacturing similarly assessment of solid models of mechanical parts based on machining features.  ...  Our technical approach is three-fold: (1) perform machining feature extraction; (2) construct a model dependency graph (MDG) from the set of machining features; (3) partition the models in a database using  ...  Introduction We present an approach to comparing the manufacturing similarity of solid models of machined artifacts based on their machining features.  ... 
doi:10.1017/s0890060402165048 fatcat:n7ur3rzob5h25awy4sjw7wn4i4

Feature-based similarity assessment of solid models

Alexei Elinson, Dana S. Nau, William C. Regli
1997 Proceedings of the fourth ACM symposium on Solid modeling and applications - SMA '97  
This paper presents our initial efforts to develop a systematic approach for assessing the similarity of solid models based on how they will be manufactured.  ...  The goal of this work is to develop methods that, given a solid model representing the design of a new product, query a product information database (of solid models, associated manufacturing plans, and  ...  The machined part is a solid object, represented by a solid model of the part P , to be produced as a result of a finite set of machining operations.  ... 
doi:10.1145/267734.267806 dblp:conf/sma/ElinsonNR97 fatcat:377fjneo45hwfk3k736zcv3whm

A 3D object classifier for discriminating manufacturing processes

Cheuk Yiu Ip, William C. Regli
2006 Computers & graphics  
Statistics on surface curvatures are used to construct the curvature-based shape descriptor; and a supervised machine learning classifier, based on support vector machines, is applied to learn a separator  ...  for models that are "prismatic machined" and "cast-then-machined".  ...  Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation or the other supporting  ... 
doi:10.1016/j.cag.2006.08.013 fatcat:yjaugtwjcvchboqmb7tuxjc6va

An Algorithm for Subgraph Isomorphism

J. R. Ullmann
1976 Journal of the ACM  
Generally, commercial computer-aided design (CAD) sys tems use a feature-based design approach to solid modeling.  ...  CAM and CAPP systems also use feature based approaches to describe the manufacturing and assembly of an artifact.  ... 
doi:10.1145/321921.321925 fatcat:h7jexkfkqrdgvlecqbv3swljoi

Benchmarking CAD search techniques

Dmitriy Bespalov, Cheuk Yiu Ip, William C. Regli, Joshua Shaffer
2005 Proceedings of the 2005 ACM symposium on Solid and physical modeling - SPM '05  
3) two datasets of industrial CAD models classified based on object function and manufacturing process, respectively; (4) and a dataset of LEGO c models from the Mindstorms c robotics kits.  ...  These datasets include (1) a dataset of CAD primitives (such as those common in constructive solid geometry modeling); (2) two datasets consisting of classes generated by minor topological variation; (  ...  Acknowledgment This work was supported in part by National Science Foundation (NSF) CAREER Award CISE/IIS-9733545 and Office of Naval Research (ONR) Award No. N00014-01-1-0618.  ... 
doi:10.1145/1060244.1060275 dblp:conf/sma/BespalovIRS05 fatcat:cky7gyk5jngylofxsbyhaejbji

Using shape distributions to compare solid models

Cheuk Yiu Ip, Daniel Lapadat, Leonard Sieger, William C. Regli
2002 Proceedings of the seventh ACM symposium on Solid modeling and applications - SMA '02  
We provide a brief review of shape matching with distribution functions and present an approach to matching solid models.  ...  Our recent work has described how to use feature and topology information to compare 3-D solid models. In this work we describe a new method to compare solid models based on shape distributions.  ...  This work was supported in part by  ... 
doi:10.1145/566282.566322 dblp:conf/sma/IpLSR02 fatcat:bj2lcu5rgzgjrjzxd2szu5p2ea

Development of a Reference Part for the Evaluation of Energy Efficiency in Milling Operations

H.-H. Westermann, M. Kafara, R. Steinhilper
2015 Procedia CIRP  
The paper provides a proposal for a reference part which will allow a standardized evaluation of the energy efficiency and technical capability of solid end mills based on facts taken directly from the  ...  Based on a scientific recomposition of these single components and measures the reference part was developed.  ...  Acknowledgements All topics presented in this paper are outcomes of the research project "Development of an energy-efficient cutting edge geometry for solid end mills" (Entwicklung einer energieverbrauchsoptimierten  ... 
doi:10.1016/j.procir.2014.07.104 fatcat:33h3urgcs5dxdnvw54y64hhpiy

Efficient Radiomics-Based Classification of Multi-Parametric MR Images to Identify Volumetric Habitats and Signatures in Glioblastoma: A Machine Learning Approach

Fang-Ying Chiu, Yun Yen
2022 Cancers  
It encroaches on brain tissue with heterogeneous regions of a necrotic core, solid part, peritumoral tissue, and edema.  ...  The proportional volume size of the edema was about 1.5 times larger than the size of the solid part tumor. The volume size of the solid part was approximately 0.7 times in the necrosis area.  ...  We represented radiomic features based on imaging signatures of the heterogeneous GBM tumor tissue parts (Figure 2 ) and created a radiomic-based model for the semiautomatic annotation of GBM using MRI  ... 
doi:10.3390/cancers14061475 pmid:35326626 pmcid:PMC8945893 fatcat:qqkgy77e35gwreickxdvps7ule

Using shape distributions to compare solid models

Cheuk Yiu Ip, Daniel Lapadat, Leonard Sieger, William C. Regli
2002 Proceedings of the seventh ACM symposium on Solid modeling and applications - SMA '02  
We provide a brief review of shape matching with distribution functions and present an approach to matching solid models.  ...  Our recent work has described how to use feature and topology information to compare 3-D solid models. In this work we describe a new method to compare solid models based on shape distributions.  ...  This work was supported in part by  ... 
doi:10.1145/566313.566322 fatcat:qffysvkezrhexg3apzgmsew5fa

A Multiparametric MRI-Based Radiomics Analysis to Efficiently Classify Tumor Subregions of Glioblastoma: A Pilot Study in Machine Learning

Fang-Ying Chiu, Nguyen Quoc Khanh Le, Cheng-Yu Chen
2021 Journal of Clinical Medicine  
The multiparametric MRI-based radiomics model showed the efficient classification of tumor subregions of GBM and suggests that prognostic radiomic features from a routine MRI exam may also be significantly  ...  Glioblastoma multiforme (GBM) carries a poor prognosis and usually presents with heterogenous regions of a necrotic core, solid part, peritumoral tissue, and peritumoral edema.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/jcm10092030 pmid:34068528 fatcat:aholl3idunhxpdayvugta7jdcm

Methods for automated manufacturability analysis of injection-molded and die-cast parts

Rahul A. Bidkar, Daniel A. McAdams
2009 Research in Engineering Design  
This article discusses a procedure to obtain a 3D binary representation of the solid model and develops feature recognition techniques to extract critical manufacturability information from this 3D binary  ...  A novel feature recognition method is developed that is based on decomposing the part into elemental cubes and then, making use of their individual manufacturability, the manufacturability of the part  ...  An approach to find parting lines by slicing a solid model was proposed by Wong et al. (1998) .  ... 
doi:10.1007/s00163-009-0070-9 fatcat:bajmry7kwffgpiqjjzzwpnqbgu

Automated learning of model classifications

Cheuk Yiu Ip, William C. Regli, Leonard Sieger, Ali Shokoufandeh
2003 Proceedings of the eighth ACM symposium on Solid modeling and applications - SM '03  
This paper describes a new approach to automate the classification of solid models using machine learning techniques.  ...  In this way, the core shape learning algorithm can be used to find a wide variety of model classifications based on user input and training data.  ...  This work was supported in part by NSF CAREER Award CISE/IIS-9733545, ONR Grant N00014-01-1-0618, Honeywell FM&T and Lockheed Martin.  ... 
doi:10.1145/781606.781659 dblp:conf/sma/IpRSS03 fatcat:uquanuqyjvaejlrihxzhhs65jm

Automated learning of model classifications

Cheuk Yiu Ip, William C. Regli, Leonard Sieger, Ali Shokoufandeh
2003 Proceedings of the eighth ACM symposium on Solid modeling and applications - SM '03  
This paper describes a new approach to automate the classification of solid models using machine learning techniques.  ...  In this way, the core shape learning algorithm can be used to find a wide variety of model classifications based on user input and training data.  ...  This work was supported in part by NSF CAREER Award CISE/IIS-9733545, ONR Grant N00014-01-1-0618, Honeywell FM&T and Lockheed Martin.  ... 
doi:10.1145/781650.781659 fatcat:s3w3f2cfhvfenid4cn5cis7kry

IMACS: a case study in real-world planning

S.K. Gupta, D.S. Nau, W.C. Regli
1998 IEEE Intelligent Systems and their Applications  
IMACS is an automated designer's aid to evaluate the manufacturability of machined parts and suggest design modications to improve manufacturability.  ...  In particular, our experience suggests that process planning for complex machined parts would not be accomplished very well by populating a general purpose planner with domain-specic knowledge.  ...  ACIS .sat, B e n tley MicroStation .dgn, and STEP AP203 format solid models for the example parts in this paper can be obtained through the World Wide Web through the NIST Design, Process Planning, and  ... 
doi:10.1109/5254.683210 fatcat:fwnyj72alzc3pgilswg7mxmp2u

Study of Combination Algorithm in Partitioning Manufacture Technology

Hui Feng Wang, Yong Jun Zhang, Jing Tao Han, Ling Chen
2011 Advanced Engineering Forum  
For the piece number is the primary reason influencing the machining efficiency, to reduce it, a combination algorithm is introduced based on the original feature-based partitioning algorithm.  ...  Partitioning Manufacture Technology (PMT), which can get complex parts by simple processing has been developed to reduce tooling cost or increase machining efficiency.  ...  Since this approach automatically produces solid models of model components, it can be integrated with CAM systems to generate the cutter path plans for manufacturing the individual components. a) A part  ... 
doi:10.4028/www.scientific.net/aef.1.150 fatcat:6nj5b2ygejcmxgeqcvxlxwqazi
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